多传感器数据融合中的数据配准研究

Study of Data Registration in Multiple Sensor for Data Fusion

数据配准是多传感器数据融合的先期处理过程。本文在研究了传统的最小二乘算法的基础上，提出了基于三维坐标系中的极大似然配准算法，解决了最小二乘配准算法对于传感器相距较远时无法解决的问题。最后通过计算机仿真证明了此算法的有效性。

In this work, we formulate the multiple sensor alignment problem in 3D plane .A maximum likelihood algorithm for registration is presented and implemented using a recursive two-step optimization. Sensor biases are then estimated using this algorithm and least squares technique with simulated data. The simulated results evaluate the performance of the proposed algorithm.